Overview

Dataset statistics

Number of variables26
Number of observations1060
Missing cells0
Missing cells (%)0.0%
Duplicate rows21
Duplicate rows (%)2.0%
Total size in memory223.6 KiB
Average record size in memory216.0 B

Variable types

Numeric24
Categorical2

Alerts

Dataset has 21 (2.0%) duplicate rowsDuplicates
Binary_Disease is uniformly distributedUniform

Reproduction

Analysis started2024-05-20 19:05:24.987113
Analysis finished2024-05-20 19:08:27.546714
Duration3 minutes and 2.56 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Glucose
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45492068
Minimum0.001827491
Maximum0.99174203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:27.754066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.001827491
5-th percentile0.052555783
Q10.27430718
median0.42047217
Q30.66390721
95-th percentile0.87804246
Maximum0.99174203
Range0.98991454
Interquartile range (IQR)0.38960003

Descriptive statistics

Standard deviation0.25129202
Coefficient of variation (CV)0.55238646
Kurtosis-0.92669792
Mean0.45492068
Median Absolute Deviation (MAD)0.18532279
Skewness0.077226856
Sum482.21592
Variance0.063147681
MonotonicityNot monotonic
2024-05-20T19:08:28.060341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7395967125 36
 
3.4%
0.6937673328 36
 
3.4%
0.5657938979 32
 
3.0%
0.3893987462 31
 
2.9%
0.5822777461 29
 
2.7%
0.106993472 29
 
2.7%
0.3495090523 29
 
2.7%
0.346893067 28
 
2.6%
0.274307181 26
 
2.5%
0.5062264762 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.001827490961 1
0.1%
0.002709518215 1
0.1%
0.005377304713 1
0.1%
0.007325566204 1
0.1%
0.007637786025 1
0.1%
0.01099392779 1
0.1%
0.01115319529 1
0.1%
0.01153575118 1
0.1%
0.01294417419 1
0.1%
0.01295600887 1
0.1%
ValueCountFrequency (%)
0.991742034 1
0.1%
0.9916515309 1
0.1%
0.9896382736 1
0.1%
0.9891001706 1
0.1%
0.9851630638 1
0.1%
0.9826385967 1
0.1%
0.9809315453 1
0.1%
0.97491492 1
0.1%
0.9684602088 1
0.1%
0.9675154804 1
0.1%

Cholesterol
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.440951
Minimum0.0030876614
Maximum0.9996065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:28.356064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0030876614
5-th percentile0.062985756
Q10.23944532
median0.43485489
Q30.65019839
95-th percentile0.87725724
Maximum0.9996065
Range0.99651883
Interquartile range (IQR)0.41075307

Descriptive statistics

Standard deviation0.25565646
Coefficient of variation (CV)0.57978428
Kurtosis-0.92872587
Mean0.440951
Median Absolute Deviation (MAD)0.2153435
Skewness0.23276972
Sum467.40806
Variance0.065360224
MonotonicityNot monotonic
2024-05-20T19:08:28.658952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6501983879 36
 
3.4%
0.7306858461 36
 
3.4%
0.7101853493 32
 
3.0%
0.4624040796 31
 
2.9%
0.1146325055 29
 
2.7%
0.2770237511 29
 
2.7%
0.4680669716 29
 
2.7%
0.07001695925 28
 
2.6%
0.544493144 26
 
2.5%
0.1922740623 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.003087661448 1
0.1%
0.009368908733 1
0.1%
0.0101538103 1
0.1%
0.01087824134 1
0.1%
0.01162404171 1
0.1%
0.01213938631 1
0.1%
0.01427824631 1
0.1%
0.01560535852 1
0.1%
0.02038515419 1
0.1%
0.02164539417 1
0.1%
ValueCountFrequency (%)
0.9996064959 1
0.1%
0.997242359 1
0.1%
0.994695744 1
0.1%
0.994422491 1
0.1%
0.9920074626 1
0.1%
0.9903964379 1
0.1%
0.9897350741 1
0.1%
0.9861677512 1
0.1%
0.9810861376 1
0.1%
0.9803435842 1
0.1%

Hemoglobin
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55530537
Minimum0.00071874105
Maximum0.99787613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:28.964394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.00071874105
5-th percentile0.0885672
Q10.32503491
median0.62262156
Q30.7746102
95-th percentile0.94493765
Maximum0.99787613
Range0.99715739
Interquartile range (IQR)0.44957529

Descriptive statistics

Standard deviation0.2702633
Coefficient of variation (CV)0.48669312
Kurtosis-1.0193516
Mean0.55530537
Median Absolute Deviation (MAD)0.17084445
Skewness-0.39872969
Sum588.62369
Variance0.073042254
MonotonicityNot monotonic
2024-05-20T19:08:29.263589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7136309861 36
 
3.4%
0.7511957654 36
 
3.4%
0.661881876 32
 
3.0%
0.4805953472 31
 
2.9%
0.8462661761 29
 
2.7%
0.77651621 29
 
2.7%
0.7872404862 29
 
2.7%
0.7746101971 28
 
2.6%
0.1113044432 26
 
2.5%
0.6226215581 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.0007187410462 1
0.1%
0.003021346704 1
0.1%
0.004818776552 1
0.1%
0.005584550139 1
0.1%
0.008003172867 1
0.1%
0.009932629018 1
0.1%
0.01035922825 1
0.1%
0.0110023198 1
0.1%
0.01110710937 1
0.1%
0.01151171109 1
0.1%
ValueCountFrequency (%)
0.9978761267 1
0.1%
0.9969251026 1
0.1%
0.9938336055 1
0.1%
0.9870330293 1
0.1%
0.9866845758 1
0.1%
0.9843248609 1
0.1%
0.9833057855 1
0.1%
0.9822305382 1
0.1%
0.98208008 1
0.1%
0.9791272085 1
0.1%

Platelets
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55585804
Minimum6.2425237 × 10-6
Maximum0.99950672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:29.572030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6.2425237 × 10-6
5-th percentile0.11310278
Q10.34816426
median0.58071909
Q30.7473257
95-th percentile0.95678918
Maximum0.99950672
Range0.99950048
Interquartile range (IQR)0.39916144

Descriptive statistics

Standard deviation0.26132638
Coefficient of variation (CV)0.47013151
Kurtosis-0.9397945
Mean0.55585804
Median Absolute Deviation (MAD)0.17704925
Skewness-0.22470598
Sum589.20953
Variance0.068291479
MonotonicityNot monotonic
2024-05-20T19:08:29.890659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8684912414 36
 
3.4%
0.7473256992 36
 
3.4%
0.9876838504 32
 
3.0%
0.2289118066 31
 
2.9%
0.7369679994 29
 
2.7%
0.6385541962 29
 
2.7%
0.2531299449 29
 
2.7%
0.6959488328 28
 
2.6%
0.6599444987 26
 
2.5%
0.5391111633 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
6.242523677 × 10-61
0.1%
0.003713858047 1
0.1%
0.004733073813 1
0.1%
0.005261356809 1
0.1%
0.005610537109 1
0.1%
0.008648081105 1
0.1%
0.009838727535 1
0.1%
0.012593787 1
0.1%
0.01530376987 1
0.1%
0.01617990881 1
0.1%
ValueCountFrequency (%)
0.9995067224 1
 
0.1%
0.9993931296 1
 
0.1%
0.9979265826 1
 
0.1%
0.9968409749 1
 
0.1%
0.9967021592 1
 
0.1%
0.9957664191 1
 
0.1%
0.9948203626 1
 
0.1%
0.9911882284 1
 
0.1%
0.9908853819 1
 
0.1%
0.9876838504 32
3.0%

White Blood Cells
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55632506
Minimum-0.00020615024
Maximum0.99964626
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:30.224957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00020615024
5-th percentile0.094805788
Q10.37911829
median0.57051721
Q30.78108816
95-th percentile0.92580228
Maximum0.99964626
Range0.99985241
Interquartile range (IQR)0.40196987

Descriptive statistics

Standard deviation0.25666934
Coefficient of variation (CV)0.46136577
Kurtosis-0.88450581
Mean0.55632506
Median Absolute Deviation (MAD)0.19198793
Skewness-0.28970872
Sum589.70456
Variance0.065879151
MonotonicityNot monotonic
2024-05-20T19:08:30.591873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6874330285 36
 
3.4%
0.7420840626 36
 
3.4%
0.2148117768 32
 
3.0%
0.7810881568 31
 
2.9%
0.4874045268 29
 
2.7%
0.8192772736 29
 
2.7%
0.6052108584 29
 
2.7%
0.405679633 28
 
2.6%
0.5167590275 26
 
2.5%
0.37852928 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0002061502357 1
0.1%
0.00266604752 1
0.1%
0.003351450849 1
0.1%
0.006619545247 1
0.1%
0.01013850758 1
0.1%
0.01057973839 1
0.1%
0.0109894342 1
0.1%
0.01128970712 1
0.1%
0.01175905261 1
0.1%
0.01264567324 1
0.1%
ValueCountFrequency (%)
0.9996462633 1
0.1%
0.9974003339 1
0.1%
0.9957230617 1
0.1%
0.9950883765 1
0.1%
0.9907857025 1
0.1%
0.9891635935 1
0.1%
0.989057632 1
0.1%
0.9882382541 1
0.1%
0.9868351839 1
0.1%
0.9849354754 1
0.1%

Red Blood Cells
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56780071
Minimum0.00055154141
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:30.922392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.00055154141
5-th percentile0.10170641
Q10.33108215
median0.58852647
Q30.79126167
95-th percentile0.93831873
Maximum1
Range0.99944846
Interquartile range (IQR)0.46017952

Descriptive statistics

Standard deviation0.27171121
Coefficient of variation (CV)0.47853271
Kurtosis-1.0307046
Mean0.56780071
Median Absolute Deviation (MAD)0.22989171
Skewness-0.26595408
Sum601.86875
Variance0.073826982
MonotonicityNot monotonic
2024-05-20T19:08:31.288027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5298953993 36
 
3.4%
0.4130555957 36
 
3.4%
0.7657050972 32
 
3.0%
0.8891000944 31
 
2.9%
0.9040459155 29
 
2.7%
0.25766557 29
 
2.7%
0.8798776934 29
 
2.7%
0.3280268083 28
 
2.6%
0.751746084 26
 
2.5%
0.6766225528 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.0005515414098 1
0.1%
0.001260648152 1
0.1%
0.004037736436 1
0.1%
0.005363159847 1
0.1%
0.007202089968 1
0.1%
0.008741063337 1
0.1%
0.009508886675 1
0.1%
0.01322594983 1
0.1%
0.01484722636 1
0.1%
0.01499399342 1
0.1%
ValueCountFrequency (%)
1 19
1.8%
0.9972673949 1
 
0.1%
0.9969854231 1
 
0.1%
0.9960523502 1
 
0.1%
0.9923773771 1
 
0.1%
0.992057229 1
 
0.1%
0.9912255062 1
 
0.1%
0.9911727442 1
 
0.1%
0.9892875128 1
 
0.1%
0.9882809977 1
 
0.1%

Hematocrit
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55265457
Minimum0.0045560079
Maximum1.0008568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:31.648021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0045560079
5-th percentile0.089171997
Q10.29000591
median0.55475366
Q30.81765049
95-th percentile0.9775203
Maximum1.0008568
Range0.99630081
Interquartile range (IQR)0.52764458

Descriptive statistics

Standard deviation0.27975222
Coefficient of variation (CV)0.50619724
Kurtosis-1.1970353
Mean0.55265457
Median Absolute Deviation (MAD)0.26289683
Skewness-0.1340919
Sum585.81384
Variance0.078261303
MonotonicityNot monotonic
2024-05-20T19:08:31.979848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.290005909 36
 
3.4%
0.820138345 36
 
3.4%
0.8808371108 32
 
3.0%
0.2017867807 31
 
2.9%
0.3945473418 29
 
2.7%
0.7511062826 29
 
2.7%
0.7915649505 29
 
2.7%
0.5615517052 28
 
2.6%
1.00034204 26
 
2.5%
0.8176504878 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.004556007938 1
0.1%
0.007158391839 1
0.1%
0.007681225099 1
0.1%
0.01164188277 1
0.1%
0.01177172306 1
0.1%
0.01257684811 1
0.1%
0.01271737222 1
0.1%
0.01401557562 1
0.1%
0.01547680425 1
0.1%
0.01596863523 1
0.1%
ValueCountFrequency (%)
1.000856814 1
 
0.1%
1.00034204 26
2.5%
0.995372958 1
 
0.1%
0.9946896868 1
 
0.1%
0.9937746028 1
 
0.1%
0.9915136421 1
 
0.1%
0.990192078 1
 
0.1%
0.9873251019 1
 
0.1%
0.9822233594 1
 
0.1%
0.9779852715 1
 
0.1%

Mean Corpuscular Volume
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41405443
Minimum0.00030898593
Maximum0.99636243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:32.312858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.00030898593
5-th percentile0.065926206
Q10.19807167
median0.36848381
Q30.63104502
95-th percentile0.90114617
Maximum0.99636243
Range0.99605344
Interquartile range (IQR)0.43297335

Descriptive statistics

Standard deviation0.25946541
Coefficient of variation (CV)0.62664567
Kurtosis-0.75295923
Mean0.41405443
Median Absolute Deviation (MAD)0.19112473
Skewness0.44750699
Sum438.89769
Variance0.067322301
MonotonicityNot monotonic
2024-05-20T19:08:32.657317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6310450181 36
 
3.4%
0.1401641479 36
 
3.4%
0.09938376725 32
 
3.0%
0.2989393355 31
 
2.9%
0.06592620617 29
 
2.7%
0.3049675139 29
 
2.7%
0.411967047 29
 
2.7%
0.2952104917 28
 
2.6%
0.2880680134 26
 
2.5%
0.0315085097 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.0003089859301 1
 
0.1%
0.005770486602 1
 
0.1%
0.01279058964 1
 
0.1%
0.0158887065 1
 
0.1%
0.01785566307 1
 
0.1%
0.01797701656 1
 
0.1%
0.02073925535 1
 
0.1%
0.02808988953 1
 
0.1%
0.03060689474 1
 
0.1%
0.0315085097 26
2.5%
ValueCountFrequency (%)
0.9963624288 1
0.1%
0.9953805369 1
0.1%
0.9952629487 1
0.1%
0.9945086457 1
0.1%
0.9928269286 1
0.1%
0.992721619 1
0.1%
0.9919425219 1
0.1%
0.988233761 1
0.1%
0.985488237 1
0.1%
0.9839938652 1
0.1%
Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43504403
Minimum-0.00061433094
Maximum0.99923369
Zeros0
Zeros (%)0.0%
Negative28
Negative (%)2.6%
Memory size16.6 KiB
2024-05-20T19:08:32.992025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00061433094
5-th percentile0.00055362659
Q10.17244984
median0.39328969
Q30.72137767
95-th percentile0.90319399
Maximum0.99923369
Range0.99984802
Interquartile range (IQR)0.54892783

Descriptive statistics

Standard deviation0.3057286
Coefficient of variation (CV)0.70275325
Kurtosis-1.4438681
Mean0.43504403
Median Absolute Deviation (MAD)0.29416807
Skewness0.074558243
Sum461.14667
Variance0.09346998
MonotonicityNot monotonic
2024-05-20T19:08:33.296264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001327857832 36
 
3.4%
0.7560923403 36
 
3.4%
0.000553626593 32
 
3.0%
0.2851844 31
 
2.9%
0.6874577633 29
 
2.7%
0.7705769703 29
 
2.7%
0.7533528082 29
 
2.7%
-0.0006143309429 28
 
2.6%
0.1728004827 26
 
2.5%
0.07506954079 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0006143309429 28
2.6%
0.000553626593 32
3.0%
0.001327857832 36
3.4%
0.008778318521 1
 
0.1%
0.0104824691 1
 
0.1%
0.0120204761 1
 
0.1%
0.01241206124 1
 
0.1%
0.01458901132 1
 
0.1%
0.01580624 1
 
0.1%
0.01729888932 1
 
0.1%
ValueCountFrequency (%)
0.9992336923 1
0.1%
0.9973347467 1
0.1%
0.9968829183 1
0.1%
0.9958561792 1
0.1%
0.9920218763 1
0.1%
0.9898032365 1
0.1%
0.9863445589 1
0.1%
0.9858013553 1
0.1%
0.9816910361 1
0.1%
0.9794970133 1
0.1%
Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49570157
Minimum0.00071942016
Maximum0.99966555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:33.634926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.00071942016
5-th percentile0.038502503
Q10.2787174
median0.50113082
Q30.69456513
95-th percentile0.93163573
Maximum0.99966555
Range0.99894613
Interquartile range (IQR)0.41584773

Descriptive statistics

Standard deviation0.26833512
Coefficient of variation (CV)0.54132393
Kurtosis-0.97992126
Mean0.49570157
Median Absolute Deviation (MAD)0.20847901
Skewness-0.13960906
Sum525.44366
Variance0.072003737
MonotonicityNot monotonic
2024-05-20T19:08:33.969221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7958288705 36
 
3.4%
0.4881890492 36
 
3.4%
0.03553271538 32
 
3.0%
0.6698948957 31
 
2.9%
0.4598947101 29
 
2.7%
0.5011308233 29
 
2.7%
0.2667355179 29
 
2.7%
0.0412109272 28
 
2.6%
0.1062756067 26
 
2.5%
0.5169641961 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.0007194201601 1
0.1%
0.002746801468 1
0.1%
0.003272311282 1
0.1%
0.004031060376 1
0.1%
0.00452218368 1
0.1%
0.006946977879 1
0.1%
0.007903157467 1
0.1%
0.01044588304 1
0.1%
0.01155854964 1
0.1%
0.01638375822 1
0.1%
ValueCountFrequency (%)
0.9996655464 1
0.1%
0.9994032359 1
0.1%
0.9986874964 1
0.1%
0.9939791429 1
0.1%
0.9931770969 1
0.1%
0.9930774782 1
0.1%
0.9891382569 1
0.1%
0.9889241083 1
0.1%
0.988685436 1
0.1%
0.9880052003 1
0.1%

Insulin
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48323329
Minimum-0.00077905522
Maximum0.99669413
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:34.266348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00077905522
5-th percentile0.034129122
Q10.20761067
median0.52260342
Q30.71245923
95-th percentile0.92196824
Maximum0.99669413
Range0.99747318
Interquartile range (IQR)0.50484856

Descriptive statistics

Standard deviation0.2818373
Coefficient of variation (CV)0.58323237
Kurtosis-1.2536654
Mean0.48323329
Median Absolute Deviation (MAD)0.22651495
Skewness-0.10742898
Sum512.22729
Variance0.079432263
MonotonicityNot monotonic
2024-05-20T19:08:34.606861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03412912209 36
 
3.4%
0.7728964601 36
 
3.4%
0.6996094273 32
 
3.0%
0.7124592301 31
 
2.9%
0.07954345896 29
 
2.7%
0.6683243624 29
 
2.7%
0.6588266364 29
 
2.7%
0.1067172786 28
 
2.6%
0.7137776791 26
 
2.5%
0.7491183714 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0007790552223 1
0.1%
0.002958069855 1
0.1%
0.003958646154 1
0.1%
0.007293908029 1
0.1%
0.009230415231 1
0.1%
0.01079464845 1
0.1%
0.01361429443 1
0.1%
0.01552472466 1
0.1%
0.0178121951 1
0.1%
0.01782985869 1
0.1%
ValueCountFrequency (%)
0.9966941287 1
0.1%
0.9947098859 1
0.1%
0.9942637337 1
0.1%
0.9917399008 1
0.1%
0.9893489873 1
0.1%
0.9879177651 1
0.1%
0.9864251994 1
0.1%
0.986038466 1
0.1%
0.9852704866 1
0.1%
0.9784835665 1
0.1%

BMI
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46292325
Minimum5.1366828 × 10-5
Maximum0.99726217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:34.901177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.1366828 × 10-5
5-th percentile0.047148791
Q10.28596226
median0.47871848
Q30.65098477
95-th percentile0.88229715
Maximum0.99726217
Range0.9972108
Interquartile range (IQR)0.36502251

Descriptive statistics

Standard deviation0.25316242
Coefficient of variation (CV)0.54687774
Kurtosis-0.84331463
Mean0.46292325
Median Absolute Deviation (MAD)0.17687384
Skewness0.0012838273
Sum490.69865
Variance0.064091212
MonotonicityNot monotonic
2024-05-20T19:08:35.247722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07177419891 36
 
3.4%
0.5293323929 36
 
3.4%
0.3758821414 32
 
3.0%
0.3219817792 31
 
2.9%
0.7800270151 29
 
2.7%
0.3816837425 29
 
2.7%
0.6786995024 29
 
2.7%
0.7322191589 28
 
2.6%
0.01475375874 26
 
2.5%
0.311305966 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
5.136682826 × 10-51
0.1%
0.001020268962 1
0.1%
0.001087907372 1
0.1%
0.004590724044 1
0.1%
0.004833212216 1
0.1%
0.005319789978 1
0.1%
0.006242385385 1
0.1%
0.007681950631 1
0.1%
0.01037794535 1
0.1%
0.01459560799 1
0.1%
ValueCountFrequency (%)
0.9972621666 1
0.1%
0.996260756 1
0.1%
0.9926592696 1
0.1%
0.9887920088 1
0.1%
0.9870857295 1
0.1%
0.9865664834 1
0.1%
0.9788092615 1
0.1%
0.9764957336 1
0.1%
0.9752237895 1
0.1%
0.974513501 1
0.1%

Systolic Blood Pressure
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42267765
Minimum-0.00019712274
Maximum1.0001073
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:35.615859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00019712274
5-th percentile0.051746527
Q10.18818108
median0.42668119
Q30.61836001
95-th percentile0.89023774
Maximum1.0001073
Range1.0003045
Interquartile range (IQR)0.43017893

Descriptive statistics

Standard deviation0.26051788
Coefficient of variation (CV)0.61635121
Kurtosis-0.93418205
Mean0.42267765
Median Absolute Deviation (MAD)0.2291244
Skewness0.27654851
Sum448.03831
Variance0.067869567
MonotonicityNot monotonic
2024-05-20T19:08:35.948657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1855955969 36
 
3.4%
0.5107636943 36
 
3.4%
0.6830119224 32
 
3.0%
0.05726995266 31
 
2.9%
0.5417490589 29
 
2.7%
0.7082290415 29
 
2.7%
0.1192801475 29
 
2.7%
0.4564367978 28
 
2.6%
0.5512042999 26
 
2.5%
0.02177878728 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.000197122738 1
0.1%
0.0002674779055 1
0.1%
0.004502778857 1
0.1%
0.004670856617 1
0.1%
0.004936307501 1
0.1%
0.005988262414 1
0.1%
0.00739605225 1
0.1%
0.008236918395 1
0.1%
0.009326974092 1
0.1%
0.01333744685 1
0.1%
ValueCountFrequency (%)
1.000107347 1
0.1%
0.9944612784 1
0.1%
0.9935084986 1
0.1%
0.9905286038 1
0.1%
0.9877824324 1
0.1%
0.982751594 1
0.1%
0.9820315016 1
0.1%
0.9805350162 1
0.1%
0.9792412124 1
0.1%
0.9792313 1
0.1%

Diastolic Blood Pressure
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44027306
Minimum-0.00035986009
Maximum0.99874223
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:36.420324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00035986009
5-th percentile0.056277315
Q10.17654056
median0.4452913
Q30.63217869
95-th percentile0.87238164
Maximum0.99874223
Range0.99910209
Interquartile range (IQR)0.45563813

Descriptive statistics

Standard deviation0.26678904
Coefficient of variation (CV)0.60596268
Kurtosis-1.0691872
Mean0.44027306
Median Absolute Deviation (MAD)0.23348092
Skewness0.036890603
Sum466.68944
Variance0.071176394
MonotonicityNot monotonic
2024-05-20T19:08:36.897162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07145460967 36
 
3.4%
0.4889416283 36
 
3.4%
0.6006757751 32
 
3.0%
0.1496756924 31
 
2.9%
0.0664877511 29
 
2.7%
0.6321786893 29
 
2.7%
0.3657760196 29
 
2.7%
0.1440819367 28
 
2.6%
0.07178885825 26
 
2.5%
0.6810085822 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0003598600944 1
0.1%
0.000186524037 1
0.1%
0.002772274404 1
0.1%
0.003966922726 1
0.1%
0.005578648197 1
0.1%
0.006103952524 1
0.1%
0.006681884362 1
0.1%
0.009782998602 1
0.1%
0.01146656618 1
0.1%
0.01388215297 1
0.1%
ValueCountFrequency (%)
0.998742227 1
0.1%
0.9970660422 1
0.1%
0.995559725 1
0.1%
0.9940594993 1
0.1%
0.9938791064 1
0.1%
0.988016481 1
0.1%
0.9874089122 1
0.1%
0.9800422658 1
0.1%
0.9799283715 1
0.1%
0.9792241503 1
0.1%

Triglycerides
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45871406
Minimum0.0018848323
Maximum0.99982559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:37.473426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0018848323
5-th percentile0.064390666
Q10.22769954
median0.4681131
Q30.69454521
95-th percentile0.88512562
Maximum0.99982559
Range0.99794076
Interquartile range (IQR)0.46684567

Descriptive statistics

Standard deviation0.2699226
Coefficient of variation (CV)0.58843325
Kurtosis-1.1930348
Mean0.45871406
Median Absolute Deviation (MAD)0.23362266
Skewness0.093450256
Sum486.2369
Variance0.072858212
MonotonicityNot monotonic
2024-05-20T19:08:38.100457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6534723763 36
 
3.4%
0.09373433879 36
 
3.4%
0.2022900362 32
 
3.0%
0.7931019516 31
 
2.9%
0.1517737165 29
 
2.7%
0.4681131029 29
 
2.7%
0.5767412237 29
 
2.7%
0.6040190066 28
 
2.6%
0.3318575246 26
 
2.5%
0.2344904404 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.001884832331 1
0.1%
0.004547583603 1
0.1%
0.005216920149 1
0.1%
0.008103573217 1
0.1%
0.00838437946 1
0.1%
0.01007531362 1
0.1%
0.01061225638 1
0.1%
0.010791398 1
0.1%
0.01269320748 1
0.1%
0.01271068437 1
0.1%
ValueCountFrequency (%)
0.9998255883 1
0.1%
0.9978062868 1
0.1%
0.9932775378 1
0.1%
0.9931424258 1
0.1%
0.9913899113 1
0.1%
0.9905920345 1
0.1%
0.9889624396 1
0.1%
0.9820257149 1
0.1%
0.9815531983 1
0.1%
0.9807480255 1
0.1%

HbA1c
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47706284
Minimum-0.0009908746
Maximum0.99926519
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:38.573031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.0009908746
5-th percentile0.049590306
Q10.23899256
median0.46276082
Q30.70811118
95-th percentile0.9461479
Maximum0.99926519
Range1.0002561
Interquartile range (IQR)0.46911862

Descriptive statistics

Standard deviation0.27255464
Coefficient of variation (CV)0.57131811
Kurtosis-1.0312848
Mean0.47706284
Median Absolute Deviation (MAD)0.22480122
Skewness0.075513195
Sum505.68661
Variance0.074286031
MonotonicityNot monotonic
2024-05-20T19:08:39.019359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5026647786 36
 
3.4%
0.7556601505 36
 
3.4%
0.1930096319 32
 
3.0%
0.1021803258 31
 
2.9%
0.5336272186 29
 
2.7%
0.4470727924 29
 
2.7%
0.334439412 29
 
2.7%
0.2798638678 28
 
2.6%
0.9687739803 26
 
2.5%
0.8106275825 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0009908745995 1
0.1%
0.004128370733 1
0.1%
0.00750150252 1
0.1%
0.007696358205 1
0.1%
0.01186816184 1
0.1%
0.01404682762 1
0.1%
0.01493636512 1
0.1%
0.01597076142 1
0.1%
0.01625564041 1
0.1%
0.0170985596 1
0.1%
ValueCountFrequency (%)
0.9992651856 1
0.1%
0.9975420559 1
0.1%
0.9964981406 1
0.1%
0.995448009 1
0.1%
0.9951964106 1
0.1%
0.9949591261 1
0.1%
0.9933814672 1
0.1%
0.9928525946 1
0.1%
0.9913936212 1
0.1%
0.9888295434 1
0.1%

LDL Cholesterol
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47020027
Minimum0.0010362516
Maximum0.99956729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:39.616037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0010362516
5-th percentile0.042854562
Q10.26492864
median0.48685704
Q30.65771075
95-th percentile0.89786147
Maximum0.99956729
Range0.99853104
Interquartile range (IQR)0.39278211

Descriptive statistics

Standard deviation0.25679692
Coefficient of variation (CV)0.54614371
Kurtosis-0.86774981
Mean0.47020027
Median Absolute Deviation (MAD)0.20506734
Skewness-0.071363726
Sum498.41228
Variance0.065944658
MonotonicityNot monotonic
2024-05-20T19:08:40.211978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2155602382 36
 
3.4%
0.6033509421 36
 
3.4%
0.4130711175 32
 
3.0%
0.7017824112 31
 
2.9%
0.7134413173 29
 
2.7%
0.5274564131 29
 
2.7%
0.7674081856 29
 
2.7%
0.124631396 28
 
2.6%
0.007447144103 26
 
2.5%
0.3303616343 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.001036251571 1
 
0.1%
0.002923881045 1
 
0.1%
0.007447144103 26
2.5%
0.009009460451 1
 
0.1%
0.009438058139 1
 
0.1%
0.01034463504 1
 
0.1%
0.01096478204 1
 
0.1%
0.01491043262 1
 
0.1%
0.01728158199 1
 
0.1%
0.0247238648 1
 
0.1%
ValueCountFrequency (%)
0.9995672946 1
0.1%
0.998426028 1
0.1%
0.9880082801 1
0.1%
0.9870665968 1
0.1%
0.9838264763 1
0.1%
0.982536768 1
0.1%
0.9819191112 1
0.1%
0.9817073685 1
0.1%
0.9776564363 1
0.1%
0.9774926726 1
0.1%

HDL Cholesterol
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.508297
Minimum-0.000546137
Maximum1.0007435
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:40.584694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.000546137
5-th percentile0.095086915
Q10.33239024
median0.48562148
Q30.755479
95-th percentile0.89569864
Maximum1.0007435
Range1.0012897
Interquartile range (IQR)0.42308876

Descriptive statistics

Standard deviation0.24867586
Coefficient of variation (CV)0.48923339
Kurtosis-0.92471287
Mean0.508297
Median Absolute Deviation (MAD)0.21424716
Skewness0.035562388
Sum538.79482
Variance0.061839685
MonotonicityNot monotonic
2024-05-20T19:08:40.882065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5129405631 36
 
3.4%
0.3813309007 36
 
3.4%
0.7793782297 32
 
3.0%
0.767014321 31
 
2.9%
0.4209961921 29
 
2.7%
0.2415355651 29
 
2.7%
0.2425657807 29
 
2.7%
0.4268720908 28
 
2.6%
0.4856214819 26
 
2.5%
0.4601662132 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0005461369968 1
0.1%
0.002459615161 1
0.1%
0.003820567546 1
0.1%
0.004680034738 1
0.1%
0.006786440039 1
0.1%
0.009358745413 1
0.1%
0.01870755793 1
0.1%
0.02109961779 1
0.1%
0.02140659767 1
0.1%
0.02152812787 1
0.1%
ValueCountFrequency (%)
1.000743542 1
0.1%
1.00010152 1
0.1%
1.000025775 1
0.1%
0.9987605587 1
0.1%
0.9967706667 1
0.1%
0.9954488439 1
0.1%
0.9948952752 1
0.1%
0.9926346592 1
0.1%
0.9894112936 1
0.1%
0.9884941461 1
0.1%

ALT
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42253703
Minimum-0.00031187179
Maximum1.0003259
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:42.654471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00031187179
5-th percentile0.06340516
Q10.2004467
median0.35141389
Q30.71031859
95-th percentile0.87571737
Maximum1.0003259
Range1.0006378
Interquartile range (IQR)0.50987189

Descriptive statistics

Standard deviation0.28078658
Coefficient of variation (CV)0.66452538
Kurtosis-1.303626
Mean0.42253703
Median Absolute Deviation (MAD)0.25777769
Skewness0.27392868
Sum447.88926
Variance0.078841105
MonotonicityNot monotonic
2024-05-20T19:08:42.958936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06418734696 36
 
3.4%
0.2743298921 36
 
3.4%
0.7779826004 32
 
3.0%
0.7497004803 31
 
2.9%
0.211077921 29
 
2.7%
0.1252868155 29
 
2.7%
0.3325568131 29
 
2.7%
0.7417191358 28
 
2.6%
0.2340907753 26
 
2.5%
0.06766123153 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0003118717855 1
0.1%
0.007186304988 1
0.1%
0.01065856762 1
0.1%
0.01279841977 1
0.1%
0.0135346266 1
0.1%
0.01473726266 1
0.1%
0.01504812616 1
0.1%
0.01528007921 1
0.1%
0.01667792214 1
0.1%
0.02074387876 1
0.1%
ValueCountFrequency (%)
1.000325922 1
0.1%
0.9989089357 1
0.1%
0.9945630073 1
0.1%
0.9871765418 1
0.1%
0.9841565182 1
0.1%
0.9773022285 1
0.1%
0.976757383 1
0.1%
0.9763493764 1
0.1%
0.9744010435 1
0.1%
0.9739677472 1
0.1%

AST
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4694059
Minimum0.0020470841
Maximum1.0004024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:43.266842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0020470841
5-th percentile0.070973745
Q10.24927653
median0.48100095
Q30.6208683
95-th percentile0.92012837
Maximum1.0004024
Range0.99835533
Interquartile range (IQR)0.37159176

Descriptive statistics

Standard deviation0.26757295
Coefficient of variation (CV)0.57002468
Kurtosis-0.96395002
Mean0.4694059
Median Absolute Deviation (MAD)0.21994575
Skewness0.072573359
Sum497.57025
Variance0.071595281
MonotonicityNot monotonic
2024-05-20T19:08:43.642548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6108265095 36
 
3.4%
0.4434975704 36
 
3.4%
0.2492765304 32
 
3.0%
0.07097374511 31
 
2.9%
0.6116736774 29
 
2.7%
0.7689338752 29
 
2.7%
0.6000013632 29
 
2.7%
0.143120567 28
 
2.6%
0.9201283717 26
 
2.5%
0.481000951 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.002047084112 1
0.1%
0.006373162465 1
0.1%
0.0121793913 1
0.1%
0.01240134223 1
0.1%
0.01301254574 1
0.1%
0.0152229307 1
0.1%
0.01651142509 1
0.1%
0.01693482527 1
0.1%
0.01963170413 1
0.1%
0.02026150813 1
0.1%
ValueCountFrequency (%)
1.000402418 1
0.1%
0.9989659574 1
0.1%
0.9944599516 1
0.1%
0.9935442489 1
0.1%
0.9929479002 1
0.1%
0.9877276983 1
0.1%
0.9875049343 1
0.1%
0.9845802261 1
0.1%
0.9828864255 1
0.1%
0.9815260234 1
0.1%

Heart Rate
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54355761
Minimum0.0021447324
Maximum0.99985716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:43.963933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0021447324
5-th percentile0.092556627
Q10.32699811
median0.51856742
Q30.83610766
95-th percentile0.93948485
Maximum0.99985716
Range0.99771242
Interquartile range (IQR)0.50910955

Descriptive statistics

Standard deviation0.27861525
Coefficient of variation (CV)0.51257723
Kurtosis-1.1466402
Mean0.54355761
Median Absolute Deviation (MAD)0.23252
Skewness0.038833114
Sum576.17106
Variance0.07762646
MonotonicityNot monotonic
2024-05-20T19:08:44.345546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9394848536 36
 
3.4%
0.5185674222 36
 
3.4%
0.2441408131 32
 
3.0%
0.9329066816 31
 
2.9%
0.9281608621 29
 
2.7%
0.8982088068 29
 
2.7%
0.9261856489 29
 
2.7%
0.5704862056 28
 
2.6%
0.8962007564 26
 
2.5%
0.4282502545 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.002144732384 1
0.1%
0.007819450325 1
0.1%
0.008470576007 1
0.1%
0.008641293186 1
0.1%
0.00970662265 1
0.1%
0.01150738367 1
0.1%
0.01243260921 1
0.1%
0.01329299538 1
0.1%
0.01505055714 1
0.1%
0.01673844921 1
0.1%
ValueCountFrequency (%)
0.9998571573 1
0.1%
0.9968728058 1
0.1%
0.9963213439 1
0.1%
0.9922780535 1
0.1%
0.992250692 1
0.1%
0.9893745164 1
0.1%
0.9860919629 1
0.1%
0.9857863162 1
0.1%
0.9857606293 1
0.1%
0.9835523445 1
0.1%

Creatinine
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46669565
Minimum0.0088313358
Maximum0.99934762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:44.720756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0088313358
5-th percentile0.032121816
Q10.23417601
median0.47886754
Q30.65933087
95-th percentile0.90000552
Maximum0.99934762
Range0.99051628
Interquartile range (IQR)0.42515486

Descriptive statistics

Standard deviation0.26683574
Coefficient of variation (CV)0.57175535
Kurtosis-0.99956664
Mean0.46669565
Median Absolute Deviation (MAD)0.19975897
Skewness0.02227233
Sum494.69739
Variance0.07120131
MonotonicityNot monotonic
2024-05-20T19:08:45.079772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09551152825 36
 
3.4%
0.6452468875 36
 
3.4%
0.4788675405 32
 
3.0%
0.3826472654 31
 
2.9%
0.1473851095 29
 
2.7%
0.5663701654 29
 
2.7%
0.4109813347 29
 
2.7%
0.2791085684 28
 
2.6%
0.03031257031 26
 
2.5%
0.8732897046 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.008831335767 1
 
0.1%
0.01351344027 1
 
0.1%
0.01472477472 1
 
0.1%
0.01503102766 1
 
0.1%
0.01563923497 1
 
0.1%
0.01824182731 1
 
0.1%
0.01967069259 1
 
0.1%
0.0212394154 14
1.3%
0.02252172329 1
 
0.1%
0.02312020457 1
 
0.1%
ValueCountFrequency (%)
0.9993476204 1
0.1%
0.9950301841 1
0.1%
0.9927081846 1
0.1%
0.9920897843 1
0.1%
0.9841807133 1
0.1%
0.9829971888 1
0.1%
0.9804133901 1
0.1%
0.9798119253 1
0.1%
0.9779864666 1
0.1%
0.9770177157 1
0.1%

Troponin
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45094921
Minimum0.0057142773
Maximum1.0001252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.6 KiB
2024-05-20T19:08:45.419897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0057142773
5-th percentile0.067023565
Q10.2280783
median0.43522293
Q30.69781576
95-th percentile0.90574273
Maximum1.0001252
Range0.99441089
Interquartile range (IQR)0.46973745

Descriptive statistics

Standard deviation0.26780929
Coefficient of variation (CV)0.59387905
Kurtosis-1.0527875
Mean0.45094921
Median Absolute Deviation (MAD)0.23948785
Skewness0.156937
Sum478.00617
Variance0.071721816
MonotonicityNot monotonic
2024-05-20T19:08:45.737316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4659569675 36
 
3.4%
0.08859563486 36
 
3.4%
0.7067325077 32
 
3.0%
0.4835170566 31
 
2.9%
0.7517781166 29
 
2.7%
0.221570775 29
 
2.7%
0.697815757 29
 
2.7%
0.4071249629 28
 
2.6%
0.08710730438 26
 
2.5%
0.3354353124 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
0.005714277342 1
0.1%
0.006124496429 1
0.1%
0.006543964784 1
0.1%
0.007490214645 1
0.1%
0.008220478789 1
0.1%
0.01028730141 1
0.1%
0.01093309881 1
0.1%
0.0122866655 1
0.1%
0.01331158514 1
0.1%
0.0175698063 1
0.1%
ValueCountFrequency (%)
1.000125171 1
0.1%
0.9967601639 1
0.1%
0.9962382486 1
0.1%
0.9956681423 1
0.1%
0.989520234 1
0.1%
0.9884067293 1
0.1%
0.987923377 1
0.1%
0.9875491006 1
0.1%
0.9868883672 1
0.1%
0.9823044298 1
0.1%

C-reactive Protein
Real number (ℝ)

Distinct551
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47572687
Minimum-0.00099109031
Maximum0.99948777
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size16.6 KiB
2024-05-20T19:08:46.039235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.00099109031
5-th percentile0.042362587
Q10.19555211
median0.51018321
Q30.72625053
95-th percentile0.88973598
Maximum0.99948777
Range1.0004789
Interquartile range (IQR)0.53069842

Descriptive statistics

Standard deviation0.28033938
Coefficient of variation (CV)0.58928642
Kurtosis-1.2087695
Mean0.47572687
Median Absolute Deviation (MAD)0.24097385
Skewness-0.16780828
Sum504.27048
Variance0.078590171
MonotonicityNot monotonic
2024-05-20T19:08:46.346535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7692300746 36
 
3.4%
0.7511570518 36
 
3.4%
0.5101832066 32
 
3.0%
0.04901479982 31
 
2.9%
0.5719523072 29
 
2.7%
0.192079602 29
 
2.7%
0.7190608465 29
 
2.7%
0.04880359883 28
 
2.6%
0.01215396151 26
 
2.5%
0.5041885918 26
 
2.5%
Other values (541) 758
71.5%
ValueCountFrequency (%)
-0.0009910903144 1
 
0.1%
0.001733062707 1
 
0.1%
0.004867322303 1
 
0.1%
0.004994246816 1
 
0.1%
0.00526653857 1
 
0.1%
0.00612067006 1
 
0.1%
0.00666487346 1
 
0.1%
0.01153499608 1
 
0.1%
0.01215396151 26
2.5%
0.01302943087 1
 
0.1%
ValueCountFrequency (%)
0.9994877744 1
0.1%
0.9976790764 1
0.1%
0.9975771535 1
0.1%
0.9962643818 1
0.1%
0.9898287203 1
0.1%
0.9827106831 1
0.1%
0.9793826802 1
0.1%
0.9764868394 1
0.1%
0.9752454304 1
0.1%
0.9746498893 1
0.1%

Disease
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
Healthy
530 
Diabetes
310 
Anemia
100 
Thalasse
62 
Heart Di
 
39

Length

Max length8
Median length7.5
Mean length7.3113208
Min length6

Characters and Unicode

Total characters7750
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDiabetes
2nd rowThalasse
3rd rowAnemia
4th rowThalasse
5th rowDiabetes

Common Values

ValueCountFrequency (%)
Healthy 530
50.0%
Diabetes 310
29.2%
Anemia 100
 
9.4%
Thalasse 62
 
5.8%
Heart Di 39
 
3.7%
Thromboc 19
 
1.8%

Length

2024-05-20T19:08:46.664588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-20T19:08:46.981703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
healthy 530
48.2%
diabetes 310
28.2%
anemia 100
 
9.1%
thalasse 62
 
5.6%
heart 39
 
3.5%
di 39
 
3.5%
thromboc 19
 
1.7%

Most occurring characters

ValueCountFrequency (%)
e 1351
17.4%
a 1103
14.2%
t 879
11.3%
h 611
7.9%
l 592
7.6%
H 569
7.3%
y 530
 
6.8%
i 449
 
5.8%
s 434
 
5.6%
D 349
 
4.5%
Other values (9) 883
11.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7750
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1351
17.4%
a 1103
14.2%
t 879
11.3%
h 611
7.9%
l 592
7.6%
H 569
7.3%
y 530
 
6.8%
i 449
 
5.8%
s 434
 
5.6%
D 349
 
4.5%
Other values (9) 883
11.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7750
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1351
17.4%
a 1103
14.2%
t 879
11.3%
h 611
7.9%
l 592
7.6%
H 569
7.3%
y 530
 
6.8%
i 449
 
5.8%
s 434
 
5.6%
D 349
 
4.5%
Other values (9) 883
11.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7750
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1351
17.4%
a 1103
14.2%
t 879
11.3%
h 611
7.9%
l 592
7.6%
H 569
7.3%
y 530
 
6.8%
i 449
 
5.8%
s 434
 
5.6%
D 349
 
4.5%
Other values (9) 883
11.4%

Binary_Disease
Categorical

UNIFORM 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
1
530 
0
530 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1060
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Length

2024-05-20T19:08:47.228462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-20T19:08:47.474565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Most occurring characters

ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1060
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1060
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1060
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 530
50.0%
0 530
50.0%

Interactions

2024-05-20T19:08:18.744436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:26.052464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:34.834474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:41.288676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:49.653981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:56.017510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:03.415362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:11.599031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:19.266335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:25.809215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:35.346181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:42.963098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:50.800023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:57.083294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:04.784214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:12.872058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:20.906110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:27.804961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:34.646535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:41.689610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:49.481642image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:59.164088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:05.319784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:12.780673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:18.989648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:26.460168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:35.108400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:41.578509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:49.891455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:56.296628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:03.688035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:11.859762image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:19.557654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:26.074953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:35.611193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:43.242800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:51.066739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:57.388846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:05.052376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:13.279366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:21.152406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:28.163218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:34.916134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:42.000466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:50.237020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:59.406458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:05.572687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:13.022656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:19.229921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:27.026816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:35.381953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:41.864026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:50.148519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:56.573805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:03.982970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:12.170957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:19.828673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:26.394271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:35.859050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:43.515014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:51.359919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:57.715265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:05.298496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:13.670405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:21.400441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:28.457283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:35.214944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:42.413698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:50.663683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:59.677557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:05.833318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:13.288421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:19.503269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:27.891922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:35.684279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:42.118711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:50.417389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:56.823852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:04.263597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:12.512702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:20.080812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:26.885236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:36.134505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:43.876723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:51.653025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:58.149865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:05.549219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:15.000324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:21.649454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:28.844677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:35.513156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:42.824666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:50.936195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:59.922741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:06.069545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:13.530591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:19.767271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:28.315813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:35.947829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:42.372129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:50.669429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:57.070341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:04.531569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:12.886364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:20.336020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:27.382254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:36.384589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:44.245111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:51.899135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:58.557155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:05.797243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:15.613209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:21.909251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:29.246877image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:35.778968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:43.227617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:51.225446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:00.179847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:06.325109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:13.777903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:20.012750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:28.619481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:36.234055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:42.617779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:50.926028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:57.333263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:04.822904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:13.260315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:20.607115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:27.806647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:36.640513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:44.634119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:52.157213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:58.954105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:06.063311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:15.860602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:22.158057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:29.646344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:36.038451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:43.682425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:51.507905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:00.428035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:06.576719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:14.009778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:20.268911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:28.856186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:36.500466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:42.876177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:51.180044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:57.611622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:05.095547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:13.634773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:20.874262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:28.295153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:38.240925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:45.083727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:52.428750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:59.335730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:06.313486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:16.106318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:22.422494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:29.984481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:36.307033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:44.022989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:51.787319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:00.687335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:06.842100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:14.270613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:20.525678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:29.091123image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:36.788323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:43.129463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:51.433722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:57.858212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:05.377445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:14.012339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:21.155211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:28.732298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:38.511508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:45.512040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:52.700318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:59.694968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:06.569872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:16.381309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:22.700772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:30.243188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:36.583264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:44.281250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:52.065198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:00.931690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:07.082765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:14.511397image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:20.779085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:29.349725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:37.051917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:43.376681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:51.683681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:58.123498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:05.651065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:14.388542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:21.445536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:29.166242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:38.773892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:45.849177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:52.964105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:00.056516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:06.823729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:16.689929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:23.018121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:30.493545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:36.828768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:44.544598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:52.357818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:01.175308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:07.333428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:14.770275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:21.046183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:29.591207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:37.333502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:44.368238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:51.954775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:58.494543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:05.937550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:14.690192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:21.732485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:29.615266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:39.042100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:46.234298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:53.252208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:00.458008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:07.092656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:16.962564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:23.322210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:30.740275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:37.090726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:44.813565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:52.631336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:01.428324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:07.591485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:15.009188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:21.316910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:29.864336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:37.606212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:44.812689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:52.218149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:58.848451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:07.316554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:15.034929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:22.004740image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:30.063591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:39.291643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:46.662625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:53.518481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:00.882544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:07.353027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:17.247031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:23.578705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:30.979199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:37.354067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:45.083359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:52.903779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:01.695454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:07.847025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:15.269433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:21.597176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:30.105070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:37.887867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:45.190981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:52.481337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:59.206151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:07.587815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:15.434508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:22.254894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:30.602230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:39.543072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:47.078715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:53.768243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:01.284294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:07.617327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:17.506949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:23.840323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:31.242802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:37.619155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:45.354152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:53.185173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:01.925940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:08.201016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:15.521287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:21.851951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:30.395119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:38.165612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:45.626510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:52.743202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:59.602272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:07.854771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:15.842919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:22.503905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:31.095605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:39.811612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:47.531699image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:54.009921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:01.679617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:07.864531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:17.772905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:24.083777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:31.484980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:37.867032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:45.642100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:53.465188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:02.169056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:08.587929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:15.762298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:22.172291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:30.787004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:38.455089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:46.068314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:52.991578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:59.983297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:08.170147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:16.294403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:22.766309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:31.611966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:40.065018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:47.924362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:54.257875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:01.958703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:08.140254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:18.025143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:24.331850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:31.738809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:38.154215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:45.909124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:53.738846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:02.417120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:08.977914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:16.004002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:22.590020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:31.140155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:38.705579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:46.474383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:53.262265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:00.293247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:08.450035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:16.601349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:23.045124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:32.088837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:40.309364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:48.201264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:54.515708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:02.223688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:08.398501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:18.282578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:24.593675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:31.973976image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:38.426362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:46.157718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:54.051313image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:02.686767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:09.353913image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:16.262755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:22.976929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:31.518554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:38.974781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:46.857223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:53.512326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:00.690535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:08.709735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:16.871147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:23.326979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:32.663612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:40.563683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:48.491761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:54.759056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:02.490428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:08.645750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:18.527293image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:24.844889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:32.220211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:38.683869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:46.398655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:54.490131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:02.930960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:09.727316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:16.507660image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:23.370241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:31.888657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:39.225347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:47.206235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:53.774283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:01.066081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:08.950657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:17.143220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:23.620448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:33.155544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:40.821207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:48.755370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:55.008700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:02.756955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:08.888305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:18.789018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:25.102655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:32.480437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:38.924497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:46.652905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:54.910025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:03.183812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:10.123764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:16.758896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:23.770837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:32.265119image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:39.476071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:47.613838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:54.046757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:01.413997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:09.206512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:17.422483image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:23.901614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:33.551499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:41.109522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:49.015142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:55.256769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:03.019886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:09.174720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:19.031576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:25.341184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:32.752959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:39.183336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:46.905164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:55.298839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:03.460352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:10.474082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:16.994309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:24.133898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:32.616832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:39.721235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:48.021382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:54.313406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:01.830598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:09.453094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:17.729324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:24.161179image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:33.813916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:41.366941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:49.264354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:55.525058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:03.269355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:09.436279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:19.290396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:25.591932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:33.023031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:39.435161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:47.181052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:57.332509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:03.763071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:10.839825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:17.265748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:24.462310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:33.009039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:39.993649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:48.302647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:54.627728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:02.151866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:09.716457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:17.977644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:24.429516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:34.061923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:41.613094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:49.524813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:55.771823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:03.523775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:09.694922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:19.565861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:25.950404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:33.330632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:39.695890image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:47.458646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:57.703956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:04.034666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:11.256551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:17.503195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:24.866553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:33.402156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:40.240386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:48.596872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:54.910805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:02.409356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:10.005587image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:18.215966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:24.699609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:34.316812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:41.864845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:49.766503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:56.012051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:03.775998image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:09.961864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:19.849853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:26.325364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:33.613573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:40.026647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:47.748686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:58.070830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:04.309278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:11.677789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:17.750974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:25.252327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:33.845910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:40.476352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:48.865043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:55.194180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:02.661224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:10.431885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:18.481088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:24.985945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:34.579763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:42.123485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:50.017225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:56.272879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:04.036686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:10.248243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:20.131807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:26.694164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:33.856259image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:40.477465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:48.020074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:58.352095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:04.570200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:12.028921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:17.995063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:25.654645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:34.235893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:40.755728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:49.134738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:55.469193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:02.927083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:10.937279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:18.734526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:25.252573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:34.825973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:42.383581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:50.270202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:56.528381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:04.294498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:10.513693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:20.400040image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:27.046276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:34.093220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:40.865337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:48.584564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:58.631282image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:04.831894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:12.294083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:18.238515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:26.038039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:34.561526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:41.009022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:49.393330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:05:55.743281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:03.164412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:11.329780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:19.008137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:25.518550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:35.083173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:42.668383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:50.523936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:06:56.797748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:04.540072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:12.455429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:20.651881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:27.425743image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:34.364568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:41.287418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:49.215727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:07:58.894925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:05.063656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:12.539442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-20T19:08:18.489777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Missing values

2024-05-20T19:08:26.452315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-20T19:08:27.223465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDiseaseBinary_Disease
10.1217860.0230580.9448930.9053720.5077110.4030330.1642160.3075530.2079380.5055620.5711620.8392710.5809030.5560370.4777420.8568100.6524650.1069610.9425490.3442610.6663680.6590600.8169820.401166Diabetes1
20.4525390.1161350.5445600.4006400.2945380.3820210.6252670.2951220.8683690.0268080.5821700.5774230.0457820.6636420.0889400.4667950.3873320.4217630.0071860.5069180.4317040.4172950.7990740.779208Thalasse1
30.1366090.0156050.4199570.1914870.0811680.1662140.0732930.6687190.1254470.5010510.6202580.1690590.1392890.1604960.4065280.0162560.0401370.8267210.2654150.5941480.2257560.4903490.6370610.354094Anemia1
40.1767370.7522200.9717790.7852860.4438800.4398510.8949910.4421590.2572880.8059870.1843710.5801750.1184610.0055790.4144070.4294310.1462940.2215740.0152800.5671150.8414120.1533500.7940080.094970Thalasse1
50.8982220.2587060.9333070.3530820.3739520.2971380.9000100.9854880.6790070.3557740.4602920.6243740.6648350.5375590.7664840.3894610.5299140.2226870.7724610.1199940.8942730.1281240.3790160.751438Diabetes1
60.3537340.7577570.7550070.0125940.2276840.4251170.3874610.4614180.3055880.7411200.6544410.4039200.1437130.2128590.3932630.4468540.7293760.6155430.7947350.2338900.6121880.4078910.4268630.532100Thromboc1
70.3990170.5082540.7773940.0963100.9255200.6525050.6848960.3806560.2481890.4902450.1510130.3060560.7223500.5359400.3914810.6731880.0330370.7720450.2538920.3224860.6590690.7742190.7141770.609177Thromboc1
80.7224280.3002820.4879070.2008650.4020350.7292850.8513380.8205460.1066370.0069470.7973310.5241590.7475930.1415010.1287650.0226210.0613170.6441910.7158230.4171700.6391480.2130260.5499200.036800Thalasse1
100.4070430.2482310.2956200.0559340.0444990.4161450.5485400.3389140.9069100.7222860.2431460.3694480.6434060.0431030.2761600.3675200.4500780.9894110.0877080.3179840.7434620.2066100.5947780.293962Anemia1
110.3517220.0142780.8986150.1675500.7271480.0460910.9004340.1362270.1343610.2792190.0781630.4111670.3555450.1143800.1916260.5705530.1712450.8583520.3620120.2909840.9968730.8821640.4111580.146255Diabetes1
GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDiseaseBinary_Disease
1310.6521220.4781950.5979160.4253600.9420471.0000000.4934280.3281700.1724500.6932440.4493990.4437250.5763970.4412870.4783130.7317750.6401330.3981990.2145810.6208680.3353460.4597220.7131620.332335Healthy0
450.1069930.2770240.7765160.6385540.8192770.2576660.7511060.3049680.7705770.5011310.6683240.3816840.7082290.6321790.4681130.4470730.5274560.2415360.1252870.7689340.8982090.5663700.2215710.192080Healthy0
230.6937670.7306860.7511960.7473260.7420840.4130560.8201380.1401640.7560920.4881890.7728960.5293320.5107640.4889420.0937340.7556600.6033510.3813310.2743300.4434980.5185670.6452470.0885960.751157Healthy0
780.5995490.5821780.3604970.2024960.5330170.9289190.6607380.7589180.0234080.7413810.3411240.6509850.1614460.5995410.2877600.7969220.6047530.7554790.3801210.1522760.3063800.7995520.5100910.657426Healthy0
780.5995490.5821780.3604970.2024960.5330170.9289190.6607380.7589180.0234080.7413810.3411240.6509850.1614460.5995410.2877600.7969220.6047530.7554790.3801210.1522760.3063800.7995520.5100910.657426Healthy0
26290.6838670.2837870.8718590.2766660.5092810.7546930.3583020.2877380.1233250.5759460.3833390.5411270.2229480.1829490.3921560.6672530.5623040.3429600.7386200.2521710.2860470.6735110.0222190.726251Healthy0
1540.0807790.4223810.7478590.7117620.3874670.5286010.2881320.4876050.6182040.2787170.4167180.4970180.3336740.6861420.7707400.1110300.0438800.8736810.1674860.5148290.2070980.5138640.0886110.148124Healthy0
1050.5657940.7101850.6618820.9876840.2148120.7657050.8808370.0993840.0005540.0355330.6996090.3758820.6830120.6006760.2022900.1930100.4130710.7793780.7779830.2492770.2441410.4788680.7067330.510183Healthy0
690.2548390.1256060.9649630.5807190.8157250.4584290.8932280.4291310.1957600.6945650.5226030.2859620.2339200.6259380.2829930.0250100.4229770.7599310.6515370.0763430.5108460.5580420.2280780.358865Healthy0
700.2985500.1821450.7018240.4185740.8757730.6603440.9775200.4599850.7178120.6771430.2044820.3282310.3590640.7849660.7481020.2379600.4377920.4904550.0297450.5659960.4332840.0957710.2831210.632352Healthy0

Duplicate rows

Most frequently occurring

GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDiseaseBinary_Disease# duplicates
180.6937670.7306860.7511960.7473260.7420840.4130560.8201380.1401640.7560920.4881890.7728960.5293320.5107640.4889420.0937340.7556600.6033510.3813310.2743300.4434980.5185670.6452470.0885960.751157Healthy036
190.7395970.6501980.7136310.8684910.6874330.5298950.2900060.6310450.0013280.7958290.0341290.0717740.1855960.0714550.6534720.5026650.2155600.5129410.0641870.6108270.9394850.0955120.4659570.769230Healthy036
130.5657940.7101850.6618820.9876840.2148120.7657050.8808370.0993840.0005540.0355330.6996090.3758820.6830120.6006760.2022900.1930100.4130710.7793780.7779830.2492770.2441410.4788680.7067330.510183Healthy032
110.3893990.4624040.4805950.2289120.7810880.8891000.2017870.2989390.2851840.6698950.7124590.3219820.0572700.1496760.7931020.1021800.7017820.7670140.7497000.0709740.9329070.3826470.4835170.049015Healthy031
20.1069930.2770240.7765160.6385540.8192770.2576660.7511060.3049680.7705770.5011310.6683240.3816840.7082290.6321790.4681130.4470730.5274560.2415360.1252870.7689340.8982090.5663700.2215710.192080Healthy029
80.3495090.4680670.7872400.2531300.6052110.8798780.7915650.4119670.7533530.2667360.6588270.6787000.1192800.3657760.5767410.3344390.7674080.2425660.3325570.6000010.9261860.4109810.6978160.719061Healthy029
140.5822780.1146330.8462660.7369680.4874050.9040460.3945470.0659260.6874580.4598950.0795430.7800270.5417490.0664880.1517740.5336270.7134410.4209960.2110780.6116740.9281610.1473850.7517780.571952Healthy029
60.3468930.0700170.7746100.6959490.4056800.3280270.5615520.295210-0.0006140.0412110.1067170.7322190.4564370.1440820.6040190.2798640.1246310.4268720.7417190.1431210.5704860.2791090.4071250.048804Healthy028
40.2743070.5444930.1113040.6599440.5167590.7517461.0003420.2880680.1728000.1062760.7137780.0147540.5512040.0717890.3318580.9687740.0074470.4856210.2340910.9201280.8962010.0303130.0871070.012154Healthy026
120.5062260.1922740.6226220.5391110.3785290.6766230.8176500.0315090.0750700.5169640.7491180.3113060.0217790.6810090.2344900.8106280.3303620.4601660.0676610.4810010.4282500.8732900.3354350.504189Healthy026